{!../../docs_src/websockets/tutorial001.py!}
```

## Einen `websocket` erstellen

Erstellen Sie in Ihrer **FastAPI**-Anwendung einen `websocket`:

```Python hl_lines="1  46-47"
{!../../docs_src/websockets/tutorial001.py!}
```

/// note | "Technische Details"

Sie können auch `from starlette.websockets import WebSocket` verwenden.

```JSON
{"item_id":3}
```

/// check | "Ek bilgi"

Dikkatinizi çekerim ki, fonksiyonunuzun aldığı (ve döndürdüğü) değer olan `3` bir string `"3"` değil aksine bir Python `int`'idir.

Bu tanımlamayla birlikte, **FastAPI** size otomatik istek <abbr title="HTTP isteği ile birlikte gelen string'i Python verisine dönüştürme">"ayrıştırma"</abbr> özelliği sağlar.

///

## Veri Doğrulama

from fastapi import FastAPI
from fastapi.routing import APIRoute

app = FastAPI()


@app.get("/items/")
async def read_items():
    return [{"item_id": "Foo"}]


def use_route_names_as_operation_ids(app: FastAPI) -> None:
    """
    Simplify operation IDs so that generated API clients have simpler function
    names.

    Should be called only after all routes have been added.
    """
    for route in app.routes:

import pytest
from dirty_equals import IsDict
from fastapi.testclient import TestClient


@pytest.fixture(name="client")
def get_client():
    from docs_src.schema_extra_example.tutorial005_an import app

    client = TestClient(app)
    return client


def test_post_body_example(client: TestClient):
    response = client.put(
        "/items/5",
        json={
            "name": "Foo",

import pytest
from dirty_equals import IsDict
from fastapi.testclient import TestClient

from ...utils import needs_py310


@pytest.fixture(name="client")
def get_client():
    from docs_src.schema_extra_example.tutorial005_py310 import app

    client = TestClient(app)
    return client


@needs_py310
def test_post_body_example(client: TestClient):
    response = client.put(
        "/items/5",
        json={

from fastapi import Depends, FastAPI, Security
from fastapi.security import APIKeyHeader
from fastapi.testclient import TestClient
from pydantic import BaseModel

app = FastAPI()

api_key = APIKeyHeader(name="key", description="An API Key Header")


class User(BaseModel):
    username: str


def get_current_user(oauth_header: str = Security(api_key)):
    user = User(username=oauth_header)
    return user

from fastapi import FastAPI, Security
from fastapi.security import HTTPAuthorizationCredentials, HTTPBearer
from fastapi.testclient import TestClient

app = FastAPI()

security = HTTPBearer()


@app.get("/users/me")
def read_current_user(credentials: HTTPAuthorizationCredentials = Security(security)):
    return {"scheme": credentials.scheme, "credentials": credentials.credentials}


client = TestClient(app)

from fastapi import FastAPI, Security
from fastapi.security import HTTPAuthorizationCredentials, HTTPDigest
from fastapi.testclient import TestClient

app = FastAPI()

security = HTTPDigest(description="HTTPDigest scheme")


@app.get("/users/me")
def read_current_user(credentials: HTTPAuthorizationCredentials = Security(security)):
    return {"scheme": credentials.scheme, "credentials": credentials.credentials}


client = TestClient(app)

/// info | "Informação"

FastAPI passou a suportar a notação `Annotated` (e começou a recomendá-la) na versão 0.95.0.

Se você utiliza uma versão anterior, ocorrerão erros ao tentar utilizar `Annotated`.

Certifique-se de [Atualizar a versão do FastAPI](../../deployment/versions.md#atualizando-as-versoes-do-fastapi){.internal-link target=_blank} para pelo menos 0.95.1 antes de usar `Annotated`.

quelque chose qu'un framework comme Starlette (ou **FastAPI**) fournirait par-dessus.

C'est le serveur recommandé pour Starlette et **FastAPI**.

/// check | "**FastAPI** le recommande comme"

Le serveur web principal pour exécuter les applications **FastAPI**.

Vous pouvez le combiner avec Gunicorn, pour avoir un serveur multi-processus asynchrone.